Staff Data Engineer

Harnham is seeking a senior-level Data Engineer to join a high-performing, multi-disciplinary engineering team building modern, enterprise-grade data platforms. This role involves defining data strategy, owning platform decisions, and driving production outcomes across complex systems while modernizing data platforms that support AI-driven products.

Responsibilities:

• Define and lead data architecture across data lakes, warehouses, and pipeline
• Design, build, and optimise scalable batch and real-time data pipeline
• Establish and enforce data governance, quality, and compliance standard
• Implement monitoring, logging, alerting, and CI/CD workflows for data system
• Drive data platform modernisation with a focus on performance, cost, and scalability
• Design data contracts and event-driven integrations with backend and platform team
• Build production data pipelines supporting AI/ML systems, including embeddings, vector stores, RAG workflows, feature stores, and training/inference data flow
• Partner with engineering and leadership teams to translate data strategy into execution
• Mentor junior and mid-level engineers and raise overall data engineering standard

Requirements:

• 7+ years of professional experience in data engineering, including ownership of complex data platforms
• Strong background in distributed systems and data architecture
• Expert-level proficiency in Python, SQL, and either Scala or equivalent JVM-based languages
• Extensive experience with cloud-native data platforms and enterprise data warehousing
• Hands-on experience with streaming and real-time data systems (e.g., Kafka, Kinesis, Pub/Sub)
• Proven experience building data pipelines for production AI/ML use cases